Standing on the Shoulders of Agents

Two AI science stories broke yesterday. OpenAI announced that an internal model “significantly more capable than GPT-6 Astra” produced a proof that the three-dimensional Navier-Stokes equations (which describe how fluids move, from blood circulation to weather) can develop a singularity in finite time. That’s one of the seven Clay Millennium Prize problems. Axios reports the work began September 1, after OpenAI researchers heard rumors that two other Millennium problems had fallen. The company put roughly 10,000 agents on it and spent millions in compute.

Predictably, there’s now a credit fight. NYU mathematician Tristan Buckmaster and Anthropic researcher Levent Alpöge had been working on closely-related fluid dynamics. Buckmaster publicly questioned whether OpenAI raced down a direction it learned from their work, raised concerns about whether private Codex material played a role, and alleged that OpenAI’s Sébastien Bubeck pushed to strip Alpöge from authorship because Alpöge works for Anthropic. When Buckmaster threatened to go public, he says Bubeck replied, “Why would you ruin your career?” Axios frames it as a trust question: can researchers safely use frontier labs’ tools on unpublished discoveries when the labs compete with their own customers?

The same day, Google DeepMind released AlphaGenome Atlas: precomputed predictions for the molecular effects of all 9 billion possible single-letter DNA variants in the human genome. It’s a different kind of artifact (a cached public dataset from a model shipped last year, not a live result from an unreleased frontier model) but the posture is unmistakable. One petabyte, more than 30 times larger than the AlphaFold Database, free for academic research, usable without writing a line of code. DeepMind says external collaborators have already used it to identify and experimentally verify variants in unsolved rare-disease cases.

The trust questions are legitimate and deserve real answers, but the argument misses the point. Newton wrote that he saw further by standing on the shoulders of giants, then spent years in a vicious priority fight with Leibniz over the calculus. History kept the calculus and discarded the feud. The goal is to advance science and math. This week, machines moved both. The rest is footnotes arguing about footnotes.

Author’s note: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it. This work was created with the assistance of various generative AI models.